Breaking the (Benford) Law

@article{Cho2007BreakingT,
  title={Breaking the (Benford) Law},
  author={Wendy K. Tam Cho and Brian J. Gaines},
  journal={The American Statistician},
  year={2007},
  volume={61},
  pages={218 - 223}
}
  • Wendy K. Tam Cho, Brian J. Gaines
  • Published 2007
  • Mathematics
  • The American Statistician
  • Benford's law is seeing increasing use as a diagnostic tool for isolating pockets of large datasets with irregularities that deserve closer inspection. Popular and academic accounts of campaign finance are rife with tales of corruption, but the complete dataset of transactions for federal campaigns is enormous. Performing a systematic sweep is extremely arduous; hence, these data are a natural candidate for initial screening by comparison to Benford's distributions. 
    119 Citations
    Testing the Newcomb-Benford Law: experimental evidence
    • Highly Influenced
    The promises and pitfalls of Benford's law
    • 9
    Benford’s Law
    Benford's Law, Families of Distributions and a Test Basis
    • 29
    • Highly Influenced
    • PDF
    Two digit testing for Benford's law
    • 3
    • PDF
    Does Benford’s Law hold in economic research and forecasting?
    • 45
    • PDF

    References

    SHOWING 1-10 OF 24 REFERENCES
    The effective use of Benford's Law to assist in detecting fraud in accounting data
    • 367
    • PDF
    Detecting Problems in Survey Data Using Benford's Law
    • 116
    • PDF
    A Statistical Derivation of the Significant-Digit Law
    • 551
    • PDF
    THE FIRST-DIGIT PHENOMENON
    • 87
    • PDF
    Benford's law and naturally occurring prices in certain ebaY auctions
    • 90
    • Highly Influential
    • PDF
    On the Peculiar Distribution of the U.S. Stock Indexes' Digits
    • E. Ley
    • Economics, Mathematics
    • 1995
    • 123
    • PDF
    Election Forensics: The Second-digit Benford's Law Test and Recent American Presidential Elections
    • 78
    • PDF
    The First Digit Phenomenon
    • 149
    Use of the Kolmogorov-Smirnov, Cramer-Von Mises and Related Statistics without Extensive Tables
    • 438
    • Highly Influential